datavis_pec2

Sanky Diagram

library('plotly')
library("readxl")

# df https://www.kaggle.com/datasets/arjunprasadsarkhel/2021-olympics-in-tokyo?resource=download
df_medals <-read_excel("data/Medals.xlsx")

fig <- plot_ly(
    type = "sankey",
    orientation = "h",

    node = list(
      label = c("United States of America", "People's Republic of China", "Japan", "Gold", "Silver", "Bronze"),
      color = c("blue", "blue", "blue", "blue", "blue", "blue"),
      pad = 15,
      thickness = 20,
      line = list(
        color = "black",
        width = 0.5
      )
    ),

    link = list(
      source = c(0, 0, 0, 1, 1, 1, 2, 2, 2),
      target = c(3, 4, 5, 3, 4, 5, 3, 4, 5),
      value =  c(39, 41, 33, 38, 32, 18, 27, 14, 17)
    )
  )

fig <- fig %>% layout(
    title = "Olympics - 2021: Country &  Medals",
    font = list(
      size = 10
    ),
    xaxis = list(showgrid = F, zeroline = F),
    yaxis = list(showgrid = F, zeroline = F)
  )

fig

Force-Directed Graph

library('networkD3')

data("MisNodes")
data('MisLinks')
forceNetwork(Links = MisLinks, Nodes = MisNodes, Target = "target", NodeID = "name", Group = "group", opacity = 1, fontSize = 16, zoom = TRUE)

Contour plot

library(plotly)
library(reshape2)
df <- melt(volcano)
p <- ggplot(df, aes(Var1, Var2, z= value)) +
  stat_contour(geom="polygon",aes(fill=stat(level))) +
  scale_fill_distiller(palette = "Spectral", direction = -1)
ggplotly(p)